seasonal dummy regression
Posted: Wed Nov 05, 2008 10:39 am
Hey all!
I have been trying to set up a seasonal dummy regression, however, for some reason it just wont work. Since I am quite new to Eviews, I really do not know if I am already messing up at the beginning or at some later stage of the equation set up.
I am trying to analyze seasonal patterns within ETF (exchange-traded fund) returns over the last 7 years. Basically, I am trying to look for a positive November effect and a negative July effect. Therefore I have monthly returns for each of the years examined. I am now trying to run the following regression
Rt = c + alpha Dt2 + alpha Dt3 + alpha Dt4 +....+alpha Dt12 (5)
Rt stands for the ETF return at time t, the intercept c represents the average return for the month of November and replaces an additional dummy variable in order to avoid the Dummy variable trap. The alpha m (m=2, 3, 4…, 11, 12) represent the difference between the average November return and month m. This time we test for all the Dummy variables to be 0. If the Dummy coefficients turn out to be negative, a November effect would be at hand. The estimation of the coefficients in equation (5) will give an indication as to which months differ in average returns in comparison with average November returns.
Has anyone done this so before and is able to lead me through the creation of such a model?
Thanks for the help!!
Best regards
raph
I have been trying to set up a seasonal dummy regression, however, for some reason it just wont work. Since I am quite new to Eviews, I really do not know if I am already messing up at the beginning or at some later stage of the equation set up.
I am trying to analyze seasonal patterns within ETF (exchange-traded fund) returns over the last 7 years. Basically, I am trying to look for a positive November effect and a negative July effect. Therefore I have monthly returns for each of the years examined. I am now trying to run the following regression
Rt = c + alpha Dt2 + alpha Dt3 + alpha Dt4 +....+alpha Dt12 (5)
Rt stands for the ETF return at time t, the intercept c represents the average return for the month of November and replaces an additional dummy variable in order to avoid the Dummy variable trap. The alpha m (m=2, 3, 4…, 11, 12) represent the difference between the average November return and month m. This time we test for all the Dummy variables to be 0. If the Dummy coefficients turn out to be negative, a November effect would be at hand. The estimation of the coefficients in equation (5) will give an indication as to which months differ in average returns in comparison with average November returns.
Has anyone done this so before and is able to lead me through the creation of such a model?
Thanks for the help!!
Best regards
raph